Raj Bhattacharjea
Director Of Machine Learning at DeepSig, Inc.
Atlanta, Georgia, United States
Summary
👤
Senior🎓
Top SchoolRaj Bhattacharjea is a Director of Machine Learning with 19 years of experience applying rigorous mathematics to RF signal processing, electromagnetics, and machine learning. He leads teams at DeepSig to translate cutting-edge ML research into practical systems for the spectral domain, combining academic depth from a Georgia Tech PhD with hands-on engineering. His career spans government and academic research, software development for ns-3 network simulation, and building testbeds and models for wireless communications and photonics. Known for a focus on memory-safe, reliable implementations (evident from ns-3 contributions to random number generator robustness), he excels at bridging theoretical models and production-ready ML for RF. Based in Atlanta, he brings a rare mix of domain expertise in electromagnetics and practical leadership in delivering ML-enabled radio systems.
19 years of coding experience
12 years of employment as a software developer
Doctor of Philosophy (PhD) Electrical and Computer Engineering, Doctor of Philosophy (PhD) Electrical and Computer Engineering at Georgia Institute of Technology
Bengali
Stackoverflow
250reputation
38kreached
7answers
1question
Github Skills (15)
randomization10
memory-management10
c-language10
cprogramming-language10
ns310
documentation8
statistics6
wireless6
cuda6
anaconda6
matlab6
forloop6
python6
linear-algebra6
signal-processing6
Programming languages (9)
Github contributions (5)
nsnam/ns-3-dev-git
Mar 2007 - Apr 2009
GitHub read-only mirror of ns-3-dev repository, will be kept in sync with main GitLab.com repository. Please DO NOT file pull requests here; instead, file issues and merge requests at https://gitlab.com/nsnam/ns-3-dev/
Role in this project:
Back-end Developer
Back-end DeveloperContributions:148 commits in 2 years
Contributions summary:Raj primarily worked on the ns-3-dev repository, contributing to the RandomVariable module. Their contributions involved fixing memory bugs and improving documentation within the `src/core/random-variable.h` and `src/core/random-variable.cc` files. The commits include implementing copy constructors and destructors, indicating the user's focus on memory management and ensuring the correct functioning of the random number generator.
twinedevsyncgitlabmerge-requests
rajb245/assetuniverse
Jan 2022 - Feb 2023
Download historical daily closing prices and returns of stocks, futures, and currencies.
Contributions:1 push, 1 branch in 1 year 1 month
stock-marketreturnspythoncurrenciesprices
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